每年出版 12 期
ISSN 打印: 0040-2508
ISSN 在线: 1943-6009
Indexed in
IMPROVING THE RELIABILITY OF RHINOMANOMETRY DIAGNOSTICS BY CONSIDERING STATISTICAL CHARACTERISTICS OF MEASURED SIGNALS
摘要
Current paper describes the technique of automated analysis based on the rhinomanometric diagnostics, as well as the possible ways to improve the reliability of measuring technique by optimization of algorithmic model to express-monitoring of nasal breathing. Our results have shown the applicability of suggested techniques − variance and piecewise regression transformations of dynamic signals − to obtain additional informative parameters under the time limit biological observation. It has been practically revealed that space dimension of informative parameters affects on the error probability of diagnostics. The value of proposed technique is that it permits to study the influence of individual characteristics of the patient's breathing on rhinomanometry results, and to improve automated diagnosis during respiratory testing.
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